scholarly journals Analysis of the Intensity of Communication and Coordination of Government Officials on Twitter Social Media during the Covid-19 Handling in Indonesia

2021 ◽  
Vol 10 (3) ◽  
pp. 319
Author(s):  
Muslimin Machmud ◽  
Bambang Irawan ◽  
Kisman Karinda ◽  
Joko Susilo ◽  
. Salahudin
Keyword(s):  
Social Media ◽  
Policy Implementation ◽  
Local Governments ◽  
Qualitative Content Analysis ◽  
Analysis Approach ◽  
Online Media ◽  
Government Officials ◽  
Social Media Data ◽  
Communication And Coordination ◽  
Media Data

The aim of this study is to explain government officials’ communication and coordination intensity on twitter social media while handling the Covid-19 pandemic in Indonesia. This research uses a qualitative content analysis approach towards the official Indonesian government official’s account. The result showed a developed communication and intensive coordination between President Jokowi and the team, in attempt to properly accelerate the handling process. Furthermore, this activity was also achieved with a number of governors. The presidency aimed to build the commitment of central and local government officials, and jointly support the policy implementation to properly manage Covid-19. These communication and coordination activities positively impacted on the high attention of local governments to accelerate the handling in a number of regions. However, the study limitations include the use of Twitter social media data, characterized by the inability to reveal performance of government officials. Therefore, subsequent research is expected to adopt a triangulation analysis approach to data on twitter social media, online media, official government reports, and information from trends in Indonesian cases.   Received: 7 August 2020 / Accepted: 11 February 2021 / Published: 10 May 2021

scholarly journals Disease surveillance in Indonesia through Twitter posts

2020 ◽  
Vol 18 (3) ◽  
Author(s):  
Mirna Adriani ◽  
Fatimah Azzahro ◽  
Achmad Nizar Hidayanto
Keyword(s):  
Social Media ◽  
Disease Surveillance ◽  
Disease Emergence ◽  
Government Officials ◽  
Epidemic Disease ◽  
Social Media Data ◽  
Named Entity ◽  
Using Data ◽  
Short Time ◽  
Media Data

Social media data has become popular resources for various research topic such as public health. One of the popular research directions is to use social media data to detect if there is an epidemic disease emerging in a certain area. This paper presents a framework for mapping the emergence of disease in Indonesia using data from Twitter. The framework is built upon several methods which consist of classification using SVM, clustering using K-Means, and a named-entity recognizer to extract location names. Our research successfully identifies tweets indicating disease emergence and generates a relatively accurate map visualization. Thus, we believe that using Twitter may help Indonesia government officials to get an overview of the spread of disease in Indonesia in a relatively short time.

scholarly journals CENTRAL GOVERNMENT COMMUNICATION WITH REGIONS IN HANDLING COVID-19 IN DKI JAKARTA THROUGH SOCIAL MEDIA

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Vindhi Putri Pratiwi ◽  
Sanny Nofrima ◽  
Titin Purwaningsih
Keyword(s):  
Social Media ◽  
Local Government ◽  
Qualitative Methods ◽  
Local Governments ◽  
Central Government ◽  
Social Media Data ◽  
Good Communication ◽  
Government Communication ◽  
Data Application ◽  
Media Data

This article aims to find out the communication relationship between the central government and local government in handling Covid-19. In analyzing the data using descriptive qualitative methods and processed using NVIVO 12 Plus is a processed data application to analyze online and social media data so that researchers can use the application to manage the data until there is no set time limit. Handling the spread of coronavirus is the responsibility of the central government. However, since the decentralization in Indonesia, it is also the authority of the local government itself to determine the policies that must be carried out related to the handling of the coronavirus or covid-19 outbreak. DKI Jakarta is one of the areas exposed to corona virus with the most confirmed cases. Policies carried out by local governments are also in a race against the policies of the central government. So that there is a good communication intergration between the central government and local government.

Smart De-Identification of Social Media Data

2014 ◽  
Author(s):  
Kathleen M. Carley ◽  
L. R. Carley ◽  
Jonathan Storrick
Keyword(s):  
Social Media ◽  
Social Media Data ◽  
Media Data

Mining Social Media Data to Study the Consequences of Dementia Diagnosis on Caregivers and Relatives (Preprint)

2018 ◽  
Author(s):  
Anika Oellrich ◽  
George Gkotsis ◽  
Richard James Butler Dobson ◽  
Tim JP Hubbard ◽  
Rina Dutta
Keyword(s):  
Social Media ◽  
Family Relationships ◽  
Text Processing ◽  
Automated Analysis ◽  
Health Concern ◽  
Dementia Diagnosis ◽  
Data Set ◽  
Social Media Data ◽  
Real Time Processing ◽  
Media Data

BACKGROUND Dementia is a growing public health concern with approximately 50 million people affected worldwide in 2017 and this number is expected to reach more than 131 million by 2050. The toll on caregivers and relatives cannot be underestimated as dementia changes family relationships, leaves people socially isolated, and affects the finances of all those involved. OBJECTIVE The aim of this study was to explore using automated analysis (i) the age and gender of people who post to the social media forum Reddit about dementia diagnoses, (ii) the affected person and their diagnosis, (iii) relevant subreddits authors are posting to, (iv) the types of messages posted and (v) the content of these posts. METHODS We analysed Reddit posts concerning dementia diagnoses. We used a previously developed text analysis pipeline to determine attributes of the posts as well as their authors to characterise online communications about dementia diagnoses. The posts were also examined by manual curation for the diagnosis provided and the person affected. Furthermore, we investigated the communities these people engage in and assessed the contents of the posts with an automated topic gathering technique. RESULTS Our results indicate that the majority of posters in our data set are women, and it is mostly close relatives such as parents and grandparents that are mentioned. Both the communities frequented and topics gathered reflect not only the sufferer's diagnosis but also potential outcomes, e.g. hardships experienced by the caregiver. The trends observed from this dataset are consistent with findings based on qualitative review, validating the robustness of social media automated text processing. CONCLUSIONS This work demonstrates the value of social media data sources as a resource for in-depth studies of those affected by a dementia diagnosis and the potential to develop novel support systems based on their real time processing in line with the increasing digitalisation of medical care.

Citizens, Elites, and Social Media Methodological Challenges and Opportunities in the Study of Persuasion and Mobilization

2019 ◽  
pp. 1036-1058
Author(s):  
Philip Habel ◽  
Yannis Theocharis
Keyword(s):  
Social Media ◽  
Big Data ◽  
Supply And Demand ◽  
Political Process ◽  
The Political ◽  
The Novel ◽  
Complete Understanding ◽  
Social Media Data ◽  
Challenges And Opportunities ◽  
Media Data

In the last decade, big data, and social media in particular, have seen increased popularity among citizens, organizations, politicians, and other elites—which in turn has created new and promising avenues for scholars studying long-standing questions of communication flows and influence. Studies of social media play a prominent role in our evolving understanding of the supply and demand sides of the political process, including the novel strategies adopted by elites to persuade and mobilize publics, as well as the ways in which citizens react, interact with elites and others, and utilize platforms to persuade audiences. While recognizing some challenges, this chapter speaks to the myriad of opportunities that social media data afford for evaluating questions of mobilization and persuasion, ultimately bringing us closer to a more complete understanding Lasswell’s (1948) famous maxim: “who, says what, in which channel, to whom, [and] with what effect.”

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